Customer analytics
Customer Behaviour Analytics
Compare shopping behavior and customer segments by product category, age group and subscription status.
Business question
How do purchase patterns and customer characteristics vary across categories, age brackets and subscription status?
Data
Customer shopping records covering product categories, age brackets, subscription status, purchase amounts and review ratings.
Approach
- 01Clean and prepare records
- 02Compare segments in SQL and exploratory analysis
- 03Build an interactive Power BI dashboard
- 04Review category, age and subscription patterns
Analysis
Compared revenue and purchase volume across Clothing, Accessories, Footwear and Outerwear, and examined results across age brackets and subscription status.
What I builtInteractive customer behavior dashboard with KPI, category, age and subscription views.
Key findings
- 01
Non-subscribers made up 73% of customers; subscribers made up 27%.
- 02
Average purchase amount was $59.76; average review rating was 3.75.
- 03
The dashboard compared category performance and customer patterns across four age brackets.
Business context
The segment views provide a baseline for comparing customer spend and purchase volume across product and subscription groups.
Project link
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